[PDF][PDF] Parkinson's detection using RNN-graph-LSTM with optimization based on speech signals
Early detection of Parkinson's Disease (PD) using the PD patients' voice changes would
avoid the intervention before the identification of physical symptoms. Various machine …
avoid the intervention before the identification of physical symptoms. Various machine …
An optimized RNN-LSTM approach for parkinson's disease early detection using speech features
HA Abd El Aal, SA Taie, N El-Bendary - Bulletin of Electrical Engineering …, 2021 - beei.org
Parkinson's disease (PD) is the second most common neurodegenerative disorder disease
right after Alzheimer's and the most common movement disorder for elderly people. It is …
right after Alzheimer's and the most common movement disorder for elderly people. It is …
A deep learning based method for Parkinson's disease detection using dynamic features of speech
C Quan, K Ren, Z Luo - IEEE Access, 2021 - ieeexplore.ieee.org
Detection of voice changes in Parkinson's Disease (PD) patients would make it possible for
early detection and intervention before the onset of disabling physical symptoms. This study …
early detection and intervention before the onset of disabling physical symptoms. This study …
Feature mapping and deep long short term memory network-based efficient approach for Parkinson's disease diagnosis
In this paper, a novel approach was developed for Parkinson's disease (PD) diagnosis
based on speech disorders. When the literature about the speech disorders-based PD …
based on speech disorders. When the literature about the speech disorders-based PD …
An optimized Parkinson's disorder identification through evolutionary fast learning network
Purpose Parkinson's disease (PD) is a well-known complex neurodegenerative disease.
Typically, its identification is based on motor disorders, while the computer estimation of its …
Typically, its identification is based on motor disorders, while the computer estimation of its …
Vocal feature guided detection of parkinson's disease using machine learning algorithms
Parkinson's disease (PD) is a progressive neurodegenerative disorder that primarily affects
the motor neurons of the brain and causes tremors, stiffness, and difficulty walking …
the motor neurons of the brain and causes tremors, stiffness, and difficulty walking …
[HTML][HTML] Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson's disease
The patients' vocal Parkinson's disease (PD) changes could be identified early on, allowing
for management before physically incapacitating symptoms appear. In this work, static as …
for management before physically incapacitating symptoms appear. In this work, static as …
[HTML][HTML] Parkinson's disease detection using hybrid lstm-gru deep learning model
Parkinson's disease is the second-most common cause of death and disability as well as the
most prevalent neurological disorder. In the last 15 years, the number of cases of PD has …
most prevalent neurological disorder. In the last 15 years, the number of cases of PD has …
[PDF][PDF] An LSTM based Deep learning model for voice-based detection of Parkinson's disease
Abstract Parkinson's disease (PD), a chronic neuropathological disorder, occurs when
certain brain cell clusters are not apt to engender dopamine. As a result, people feel difficulty …
certain brain cell clusters are not apt to engender dopamine. As a result, people feel difficulty …
[HTML][HTML] A novel sample and feature dependent ensemble approach for Parkinson's disease detection
Parkinson's disease (PD) is a neurological disease that has been reported to have affected
most people worldwide. Recent research pointed out that about 90% of PD patients possess …
most people worldwide. Recent research pointed out that about 90% of PD patients possess …